This article provides a review of the production and uses of maps for autonomous driving
and a synthesis of the opportunities and challenges. For many years, maps have helped …

Provably safe motion planning for automated road vehicles must ensure that planned
motions do not result in a collision with other traffic participants. This is a major challenge in …

To allow autonomous vehicles to safely participate in traffic and to avoid liability claims for
car manufacturers, autonomous vehicles must obey traffic rules. However, current traffic …

Planning is an essential topic in the realm of automated driving. Besides planning
algorithms that are widely covered in the literature, planning requires different software tools …

A framework for ground vehicle localization that uses cellular signals of opportunity (SOPs),
a digital map, an inertial measurement unit (IMU), and a Global Navigation Satellite System …

The safety validation of motion planning algorithms for automated vehicles requires a large
amount of data for virtual testing. Currently, this data is often collected through real test …

The complexities associated with Automated Driving Systems (ADSs) and their interaction
with the environment pose a challenge for their safety evaluation. Number of miles driven …

Collision avoidance, kinematic feasibility, and road-compliance must be validated to ensure
the drivability of planned motions for autonomous vehicles. Although these tasks are highly …

This study introduces a method that allows the generation and safety evaluation of a
scenario catalog derived from potential car-pedestrian conflict situations. It is based on open …

This paper presents the development process of a robust and ROS-based Drive-By-Wire
system designed for an autonomous electric vehicle from scratch over an open source …